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Making sure what your code does you think it does, with Vet

jmj· ·3 min read · 0 reactions · 0 comments · 25 views
#software#debugging#programming
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The article discusses the use of Vet, a tool designed to help software engineers ensure their code behaves as intended. The author shares their experience using Vet to debug a p5.js sketch that had a bug related to collision detection. Overall, they found Vet to be easy to use and effective in identifying issues in their code.

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// commentary — notes on tech · jmj
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Original publisher// commentary — notes on tech
Canonical URLhttps://robocall.github.io//bouncing-balls
Publication timeFri, 22 May 2026 00:39:02 +0000
Retrieval time2026-05-22T01:01:36.526Z
Last seen2026-05-22T01:01:36.526Z
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Opening excerpt (first ~120 words) tap to expand

Making sure what your code does you think it does, with Vet 2026-05-21 / 738 words · 5 min The biggest issue I run into as a software engineer is when my code doesn’t do what I think it does. I tried using Vet to solve this problem. Vet reviews your git diff plus a commit message, and asks an LLM whether your code change matches what you wanted. In this walkthrough, I briefly go over how I set up and used vet to debug a deliberately broken p5.js sketch. Overall, I found it easy to use and surprising effective! The sketch I wanted the sketch to show a simple ball that bounces off the edges of the canvas. On the right is the relevant p5.js code and on the left is the sketch working in the happy case.

Excerpt limited to ~120 words for fair-use compliance. The full article is at // commentary — notes on tech.

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